Desarrollo e implementación de un modelo de Machine Learning de Google para la clasificación de objetos por color

Abstract

This document presents the development and implementation of a Google machine learning model for the classification of objects by color. The initial step was to train the color cube model with Google's Teachable Machine tool for color recognition. Once the cube was trained, the analysis proceeded in real time and then the classification was performed. As for the logical resources system, P5j editor was used to host the model trained from the Google Teachable Machine application after several tests to obtain an almost perfect model according to the variables that must be considered when training the samples.